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34 results about "Spatial data mining" patented technology
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Spatial data mining is the application of data mining to spatial models. In spatial data mining, analysts use geographical or spatial information to produce business intelligence or other results. This requires specific techniques and resources to get the geographical data into relevant and useful formats.
Systems and methods for knowledge discovery in spatial data
InactiveUS6865582B2Simple forecasting methodExclude dataData processing applicationsDigital data processing detailsPredictive methodsStatistical analysis
Systems and methods are provided for knowledge discovery in spatial data as well as to systems and methods for optimizing recipes used in spatial environments such as may be found in precision agriculture. A spatial data analysis and modeling module is provided which allows users to interactively and flexibly analyze and mine spatial data. The spatial data analysis and modeling module applies spatial data mining algorithms through a number of steps. The data loading and generation module obtains or generates spatial data and allows for basic partitioning. The inspection module provides basic statistical analysis. The preprocessing module smoothes and cleans the data and allows for basic manipulation of the data. The partitioning module provides for more advanced data partitioning. The prediction module applies regression and classification algorithms on the spatial data. The integration module enhances prediction methods by combining and integrating models. The recommendation module provides the user with site-specific recommendations as to how to optimize a recipe for a spatial environment such as a fertilizer recipe for an agricultural field.
Owner:BATTELLE ENERGY ALLIANCE LLC
Urban disaster thematic map real-time generating method based on network information
InactiveCN103390039AGenerate intelligenceSmart releaseData processing applicationsSpecial data processing applicationsSpatial correlationSpatial Orientations
The invention provides an urban disaster thematic map real-time generating method based on network information. The method comprises the following steps that S1, the urban disaster information is obtained from networks in real time; S2, the urban disaster information is subjected to automatic place name recognition and is then subjected to spatial orientation; S3, the semantic mapping technology based on space time correlation rules is applied, and the urban disaster information subjected to the spatial orientation is subjected to semantic parsing; S4, the urban disaster information subjected to the semantic parsing is subjected to spatial data mining with graphic correlation, and the urban disaster thematic data with graphic spatial correlation is generated; S5, the urban disaster thematic data are subjected to visual representation, and an urban disaster thematic map is generated. The urban disaster thematic map real-time generating method has the advantages that the urban disaster information can be obtained in real time, the obtained urban disaster information is subjected to intelligent mining, the urban disaster thematic map is quickly generated and dynamically issued, and the quick generation and dynamical issuing level of the urban disaster thematic map is improved, and service is provided for urban management and emergency relief.
Owner:北京建筑工程学院
Data mining-based drought monitoring method
The invention discloses a data mining-based drought monitoring method. The method comprises the following steps: 1, data reconstruction is carried out on an MODIS vegetation index product, a land surface temperature product and an evapotranspiration product; 2, according to the vegetation index obtained in the first step and DEM data, downscaling is carried out on a TRMM rainfall product; 3, a vegetation anomaly index, a temperature anomaly index, an evapotranspiration anomaly index and a rainfall anomaly index are extracted again; and 4, a classification and regression tree model is used for building a statistical regression rule and a linear fitting model to obtain a drought monitoring model. Compared with the prior art, the method of the invention comprehensively considers multi-source remote sensing spatial information, such as the rainfall, the evapotranspiration, the vegetation growth state, the land using type, the altitude and other factors, in the case of drought monitoring, spatial data mining is adopted, the drought monitoring model is built, and the drought monitoring precision is improved.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES
Adaptive traffic control subarea dividing method based on spatial data mining
ActiveCN109410577AReduce travel timeHigh saturationControlling traffic signalsDetection of traffic movementSimulationSpatial data mining
An adaptive traffic control subarea dividing method based on spatial data mining belongs to the field of traffic technology. The method aims to settle a problem of relatively low outgoing efficiency of a control area which is divided by an existing control subarea dividing method. The method comprises the steps of firstly performing characteristic extraction on a peak time period, a valley time period, a high flow threshold, a middle flow threshold and a low flow threshold, selecting a traffic information characteristic which affects dividing of the control subarea; then establishing an influence weight calculating model based on a time-space characteristic, obtaining the weight of a characteristic r, and finally realizing traffic control subarea based on a weighted commodity detection algorithm divided by a dynamic module degree. The adaptive traffic control subarea dividing method is suitable for dividing the traffic control subarea.
Owner:NORTHEAST FORESTRY UNIVERSITY
Temporal-spatial data mining-based metro passenger classification method
ActiveCN103699601AUnderstand life characteristicsAccuracyRelational databasesSpecial data processing applicationsClassification methodsSpatial data mining
The invention discloses a temporal-spatial data mining-based metro passenger classification method, which comprises the steps of 1, basic data calculation comprising intelligent card efficient-statistics and inter-site similarity calculation; 2, data preprocessing; 3, passenger classification. The method has the beneficial effects that a time and space-based user travel law algorithm is used for clustering passengers with similar characteristics to finally finish classifying the passengers into a first class of rarely traveling passengers, a second class of singly temporally regular passengers, a third class of singly spatially regular passengers, a fourth class of temporally and spatially regular passengers and a fifth class of temporally and spatially irregular passengers by analyzing travel characteristics of the passengers; the classification method is effective and accurate, and life characteristics of the passengers can be effectively known about by classifying the passengers.
Owner:深圳市北斗智能科技有限公司
Region calculation method, spatial data mining apparatus, geographical information display apparatus, spatial data mining system and storage medium
InactiveUS20020059273A1Data processing applicationsDigital data processing detailsSpatial data miningData mining
It is one object of the present invention to perform regional optimization while taking spatial continuity into account, and to provide higher-level spatial data mining. A region calculation method for introducing a two-dimensional association rule, extracted from a database, that includes spatial information, such as addresses, and for applying the two-dimensional association rule for a map, comprises the steps of: defining an objective function that is used to introduce the two-dimensional association rule and that does not include regional information for which an output request has been submitted; dividing a region on the map into w pixel grids having a predetermined size to form buckets (S101); aggregating data available in the database for each bucket (S103); employing the objective function to calculate a region for the optimization of the objective function (S104); extracting entities, appearing on the map, that correspond to the obtained region (S106); and employing the extracted entities to output a region that is applied for the map.
Owner:IBM CORP
Spatial clustering mining PSE (Problem Solving Environments) system and construction method thereof
InactiveCN102360377AAchieve standardizationAchieve sharingTransmissionSpecial data processing applicationsUser inputSpatial data mining
The invention provides a spatial clustering mining PSE (Problem Solving Environments) system, which comprises a data layer, a functional layer and a user layer, wherein the data layer comprises at least one spatial database for providing basic spatial data; the functional layer is used for packaging a spatial clustering mining module and providing a uniform interface to realize the issuance, the discovery and the call of spatial clustering module service, and is used for visually displaying and returning a spatial clustering analysis result; and the user layer is used for providing the interface for a user to input parameters and select the module service. According to the invention, the spatial clustering mining module is constructed, and an OGC WPS (Web Processing Service) standard is utilized to package the mining module service, so that service sharing is realized on any system and application platform; and a portal architecture is applied, so that the expandability is good, effective support is provided for the discovery and the extraction of data useful in a decision-making process from massive data related to positions, and the application hierarchy and quality of the spatial data mining module is greatly improved and broadened.
Owner:CHINESE ACAD OF SURVEYING & MAPPING
Excavating method based on air activity target data
ActiveCN101794296AEffectively remove noiseCancel noiseSpecial data processing applicationsReal-time dataStatistical analysis
The invention discloses an excavating method based on air activity target data, relating to the association and sequence algorithm excavating technology in the data excavating application field. The invention takes the conventional type data excavating method as basis, the spatial data excavating technology is infused, the whole excavating flow and policy from air activity target data preprocessing, statistic analysis, excavating data extracting to result knowledge excavating is completed, and air activity target data excavating is completed. The invention also has the advantages that the method can be applicable to various activity target data excavation, comparison with real time data trend can be carried out by excavation and predicting is carried out on the air target activity. The invention is especially applicable to searching unknown air target activity information in air activity target data accumulated for a long time by computer assist and improves engineering application decision making ability.
Owner:NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
Region calculation method, spatial data mining apparatus, geographical information display apparatus, spatial data mining system and storage medium
InactiveUS7010564B2Data processing applicationsMultiple digital computer combinationsSpatial data miningData mining
It is one object of the present invention to perform regional optimization while taking spatial continuity into account, and to provide higher-level spatial data mining.[Constitution]A region calculation method for introducing a two-dimensional association rule, extracted from a database, that includes spatial information, such as addresses, and for applying the two-dimensional association rule for a map, comprises the steps of: defining an objective function that is used to introduce the two-dimensional association rule and that does not include regional information for which an output request has been submitted; dividing a region on the map into pixel grids having a predetermined size to form buckets (S101); aggregating data available in the database for each bucket (S103); employing the objective function to calculate a region for the optimization of the objective function (S104); extracting entities, appearing on the map, that correspond to the obtained region (S106); and employing the extracted entities to output a region that is applied for the map.
Owner:INT BUSINESS MASCH CORP
Graphic space superposition analysis drafting method of complex vector polygon
InactiveCN102902837AEasy to operateImprove robustnessSpecial data processing applicationsGraphicsAlgorithm
The invention relates to a graphic space superposition analysis drafting method of a complex vector polygon, belonging to the technical field of spatial analysis drafting and spatial data mining techniques in a geographic information system. The method comprises the steps of: converting two vector polygon graphs into precision run length coding graphs; carrying out overlying transverse superposition, polygon spanning detection and decomposition on another vector polygon graphic chain segment in an interleaved mode and a mode that one of the precision run length coding graphs is used as a background base graph, so as to obtain resolved and unresolved chain segments; screening a qualified chain segment which conforms to the superposition mode to be used as a constituting chain segment of a superposition achievement vector polygon graph; and constructing the superposition achievement vector polygon graph containing a definite spatial relationship. According to the graphic space superposition analysis drafting method, the intersecting judgment of a great number of chain segments and possible misjudgment and omission which are caused by the direct superposition of vector polygon graphs are avoided, the condition for effectively establishing a new topology relationship is created, the operability, the robustness and the practicability of a vector polygon graphic spatial superposition analysis drafting technique are improved.
Owner:NANJING UNIV
Spatial data mining method, spatial data mining apparatus and storage medium
InactiveUS7024402B2Reduce computing timeImprove usabilityData processing applicationsImage analysisSpatial data miningMachine learning
A spatial data mining apparatus for calculating an optimal distance from a database, wherein spatial information, such as addresses, is stored, includes an input mechanism, for the input of an objective function required for the optimization of a distance, an intermediate table generator 30, for employing in the database starting point data and query point data for calculating the distances between each starting point and each query point and for generating an intermediate table, and an optimal distance calculator for calculating a distance based on the intermediate table generated by the intermediate table generator, in order to optimize the value of the objective function that is entered by the input mechanism.
Owner:IBM CORP
Temporally and spatially regular subway passenger clustering and edge detecting method
Owner:深圳市北斗智能科技有限公司
Uncertainty spatial data mining-based regional metallogenic prediction method
InactiveCN101739396AGeological measurementsSpecial data processing applicationsData dredgingPredictive methods
The invention relates to an uncertainty spatial data mining-based regional metallogenic prediction method, and belongs to the technical field of resource information processing and application. The regional metallogenic prediction method makes full use of multi-source mass geological space data (basic geological mineral data, remote sensing prospecting data, geochemical data and mineral deposit data) and effectively extracts regional metallogenic associated information to perform rapid and effective regional metallogenic prediction based on an uncertainty spatial data mining algorithmic model. The regional metallogenic prediction method comprises three main steps of geometrically registering multi-source and multi-scale geological space data, extracting remote sensing mineralizing information and performing metallogenic prediction based on the uncertainty spatial data mining algorithmic model. The method can evaluate a regional metallogenic prospective area more rapidly and objectively.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Spatial data intelligent distribution service method based on big data
PendingCN109992632ASmart AcquisitionIntelligent classificationGeographical information databasesStatistical analysisSpatial data mining
The invention provides a spatial data intelligent distribution service method based on big data. The invention relates to the field of spatial data distribution service. The method comprises the stepsof user spatial data collection and order information collection. Statistical analysis is carried out on personal information and behaviors of a user, so that user behavior portrait can be performed,a big data technology is used for carrying out user-to-spatial data content similarity calculation on information such as types and resolutions of spatial data ordered by users and carrying out user-to-user similarity calculation on information such as cities and industries where the users ordering the spatial data are located. and spatial data mining and potential user mining which are interested in the user are realized, and the mined spatial data are intelligently pushed to the user. According to the invention, the user information portrait is established according to the differentiated and dynamic demands of different users on the spatial data, so that intelligent analysis, intelligent acquisition, intelligent classification and intelligent distribution for the spatial data demand ofa specific user are realized, and the construction of an intelligent active push service mode of brand new spatial data distribution is facilitated.
Owner:JIANGSU ZHITU TECH +1
Road-occupying management device and method
PendingCN109345435ASave human resourcesEasy to manageData processing applicationsCharacter and pattern recognitionSpatial data miningUrban management
The invention provides a road occupying management device and a method, which relate to the technical field of spatial data mining. The invention comprises: a road occupying management detection system, which is used for obtaining suspected road occupying management event information according to image information in a monitoring area and transmitting the event information to the road occupying management supervision system; The invention relates to a road management supervision system, which is used for analyzing and judging the event information and obtaining the event response information.The invention adopts the road occupation management detection system and the road occupation management supervision system to realize the electronic automation patrol of the road occupation managementand the remote visual supervision, which can save the human resources of the city management and improve the timeliness of the management of the road occupation management events.
Owner:山东晴天环保科技有限公司
Method for address selecting of power facilities based on space data mining technique
The invention defines a method for auxiliary address selecting of power facilities in a space by utilizing a three-dimensional geological information system. Before the practical layout and address selecting is carried out for the power facilities, such as electric wire poles, firstly, one or a plurality of optimum address selecting schemes are obtained, and are displayed in the three-dimensional geological information system, and then a result is visually displayed for a user. The real, reliable, visual and scientific result is provided for the practical wire selecting and address selecting work of final related workers, the working efficiency is greatly improved, and the workload and the cost of the on-site measurement are reduced.
Owner:泰瑞数创科技(北京)股份有限公司
Spatial clustering method of constraint railway logistics dock integrated with particle swarm optimization strategy
InactiveCN102842067AOvercoming the disadvantages of the layout methodReasonable locationForecastingBiological modelsSpatial data miningK-medoids
The invention comprises the technical fields of swarm intelligence and spatial data mining and particularly relates to a spatial clustering method of a constraint railway logistics dock integrated with a particle swarm optimization strategy. The spatial clustering method is particularly suitable for spatial layout of a logistics park at a railway port. With introduction of the particle swarm strategy, the method solves a problem that the local optimum is easily caused during K-Medoids clustering. The method comprises the following steps of: firstly, improving the K-Medoids algorithm without initializing a K value and determining the K value through a self-regulating method; secondly, solving a target function by using the improved particle swarm during the clustering iteration process, accelerating the convergence rate and finally obtaining an optimal clustering division. The spatial clustering method of the constraint railway logistics dock integrated with the particle swarm optimization strategy effectively overcomes the disadvantages of the traditional railway logistics deck layout method, is more rational in site selection and has good application value.
Owner:ZHEJIANG GONGSHANG UNIVERSITY
Spectrum attribute information and space information based reservoir water body classification method and device
InactiveCN106650810AImprove accuracyGood quality informationCharacter and pattern recognitionSpectral clustering algorithmClassification methods
The invention discloses a spectrum attribute information and space information based reservoir water body classification method. According to the method, spectral clustering is introduced to reservoir water body classification for the first time, a spectrum weight matrix is built by fully utilizing remote-sensing imaging of the spectrum attribute information and space information of the reservoir water body, and the built spectrum weight matrix is regarded as a similarity matrix of a spectral clustering matrix. Therefore, information quality of spatial analysis and spatial data mining can be improved in a better manner, and the accuracy of reservoir water body classification is accordingly and efficiently improved. The invention also discloses a spectrum attribute information and space information based reservoir water body classification device.
Owner:HOHAI UNIV +1
Spatial clustering method based on GACUC (greedy agglomerate category utility clustering) and Delaunay triangulation network
ActiveCN104036024AGood non-spatial propertiesGood clustering results for non-spatial attributesRelational databasesSpecial data processing applicationsSpatial data miningAccessibility
The invention discloses a spatial clustering method based on a GACUC (greedy agglomerate category utility clustering) and Delaunay triangulation network. Clustering is performed according to spatial attribution and non spatial attribution of spatial data, the maximum similarities of the non spatial attribution exist among spatial elements in each cluster, and the spatial accessibility of the spatial elements is provided. The non spatial attribution clustering is performed by the GACUC (), the non spatial attribution clustering of non numeric type attribute items can be supported, and the application range of the clustering method is expanded; meanwhile, spatial attribution clustering is performed on the basis of the Delaunay triangulation network, the inherent spatial data and non spatial attribution clustering of the spatial data can be implemented, and correspondence and distribution regularities among the spatial elements can be extracted more accurately. The method is simple to implement, automatic computer processing is adopted, data processing and analyzing time is saved, accuracy and availability of the clustering result are improved, and the method has a board application prospect in the field of spatial data extraction.
Owner:ZHEJIANG UNIV
Space load prediction method based on principal component analysis of comprehensive mutual information degree
PendingCN113112090AImprove classification accuracyImprove effectivenessForecastingCharacter and pattern recognitionFeature DimensionPrincipal component analysis
The invention relates to a spatial load prediction method based on principal component analysis of a comprehensive mutual information degree. The method comprises the following steps: S1, performing screening and dimension reduction on spatial information data collected from a geographic information system by using an MIS-PCA algorithm; s2, on the basis of the information processed by the MIS-PCA algorithm, establishing a land use type prediction model based on the spatial data mining technology; and S3, predicting the spatial load by using the land use classification result. The invention provides an improved comprehensive mutual information degree principal component analysis method (MIS-PCA), which can effectively improve the accuracy of data classification after dimension reduction and the effectiveness of a selected feature subset, can obtain fewer principal component dimensions, and reduces the feature dimension so as to reduce the calculation amount of back-end classification or recognition; according to the method, the MIS-PCA algorithm is introduced into a land use rule mining process, and numerous related attributes possibly influencing cellular land use type decision making are reduced, so that the land use decision making process is simplified, and the space load prediction efficiency is improved.
Owner:INNER MONGOLIA POWER GRP
Spatial big data mining system based on clustering
InactiveCN110209747AImprove the level of intelligenceHigh outputData miningGeographical information databasesKnowledge base management systemsSpatial data mining
The invention discloses a spatial big data mining system based on clustering. The system comprises a data access module, a clustering module, a user interaction module and a knowledge base managementmodule, wherein the data access module is responsible for providing a data access function, can be used as a data access interface of the clustering module and the user interaction module, and completes access to heterogeneous and heterogeneous data in a spatial database at the same time; the clustering module is responsible for receiving and analyzing a data mining task request of the user interaction module, obtaining corresponding data through the data access module and completing clustering analysis, and finally transmitting a corresponding model back to the user interaction module; the user interaction module is responsible for helping a user to complete the interaction process of selecting a data mining algorithm, modeling, loading training data and completing prediction; and the knowledge base management module provides a transparent interface between the clustering module and the user interaction module and provides powerful support for spatial decision.
Owner:广州明领基因科技有限公司
Network object and event integral monitoring method based on GIS (Geographic Information System) super cloud computing
InactiveCN104079606APrevent illegal activitiesImplement Security GovernanceTransmissionSpecial data processing applicationsSupercomputerIp address
The invention relates to a network object and event integral monitoring method based on GIS (Geographic Information System) super cloud computing. The method comprises the following steps: establishing a GIS super computing system; 2, expanding the data structure of a GIS system, and establishing a network monitoring spatial database; 3, acquiring the IP (Internet Protocol) address and network property information of a network object and an event by means of multi-mode combined search, and storing the IP address and the network property information in the network monitoring spatial database; and 4, performing spatial data mining and model analysis on a network monitoring database, and establishing a network safety pre-warning and management mechanism. Through the integral monitoring method, network big data is processed by using a super computer and a cloud GIS system, the spatial location information and the network property information of the network object are bound and stored in an expanded GIS data structure, the online and offline rules of the network object and behaviors are grasped through integrated IP locating, network search, data mining and spatial analysis, and dynamic monitoring is performed to combat and prevent network illegal behaviors, so that safety management of Internet is realized.
Owner:SHENZHEN INST OF ADVANCED TECH
Spatial clustering mining PSE (Problem Solving Environments) system and construction method thereof
InactiveCN102360377BAchieve standardizationAchieve sharingTransmissionSpecial data processing applicationsSpatial cluster analysisSpatial data mining
The invention provides a spatial clustering mining PSE (Problem Solving Environments) system, which comprises a data layer, a functional layer and a user layer, wherein the data layer comprises at least one spatial database for providing basic spatial data; the functional layer is used for packaging a spatial clustering mining module and providing a uniform interface to realize the issuance, the discovery and the call of spatial clustering module service, and is used for visually displaying and returning a spatial clustering analysis result; and the user layer is used for providing the interface for a user to input parameters and select the module service. According to the invention, the spatial clustering mining module is constructed, and an OGC WPS (Web Processing Service) standard is utilized to package the mining module service, so that service sharing is realized on any system and application platform; and a portal architecture is applied, so that the expandability is good, effective support is provided for the discovery and the extraction of data useful in a decision-making process from massive data related to positions, and the application hierarchy and quality of the spatial data mining module is greatly improved and broadened.
Owner:CHINESE ACAD OF SURVEYING & MAPPING
A Spatio-temporal Regular Passenger Clustering and Edge Detection Method for Subway
ActiveCN103699801BUnderstand life characteristicsSpecial data processing applicationsSpatial data miningSpacetime
Owner:深圳市北斗智能科技有限公司
Method of real-time generation of urban disaster thematic map based on network information
InactiveCN103390039BData processing applicationsSpecial data processing applicationsSpatial OrientationsSpatial correlation
The invention provides an urban disaster thematic map real-time generating method based on network information. The method comprises the following steps that S1, the urban disaster information is obtained from networks in real time; S2, the urban disaster information is subjected to automatic place name recognition and is then subjected to spatial orientation; S3, the semantic mapping technology based on space time correlation rules is applied, and the urban disaster information subjected to the spatial orientation is subjected to semantic parsing; S4, the urban disaster information subjected to the semantic parsing is subjected to spatial data mining with graphic correlation, and the urban disaster thematic data with graphic spatial correlation is generated; S5, the urban disaster thematic data are subjected to visual representation, and an urban disaster thematic map is generated. The urban disaster thematic map real-time generating method has the advantages that the urban disaster information can be obtained in real time, the obtained urban disaster information is subjected to intelligent mining, the urban disaster thematic map is quickly generated and dynamically issued, and the quick generation and dynamical issuing level of the urban disaster thematic map is improved, and service is provided for urban management and emergency relief.
Owner:北京建筑工程学院
A Mining Method Based on Air Activity Target Data
ActiveCN101794296BEffectively remove noiseCancel noiseSpecial data processing applicationsReal-time dataStatistical analysis
Owner:NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
Method for identifying special road sections by ultra-large-scale GPS data
The invention belongs to the technical field of GPS spatial data mining. Nine derived variables 0-1 are added for each piece of GPS record data, and value assignment is performed according to a changequantity of two pieces of continuous GPS data of the same vehicle. The processing steps after the value assignment are as follows: 1, grid division is performed on a WGS84 coordinate plane; 2, a digital road diagram in a target area is generated; 3, horizontal / vertical adjacent road grids are considered as one road section and a sampled population; 4, statistics is performed on times of enablingvalues of the derived variables 0-1 in the GPS record data to be 1 according to road sections; and 5, according to the road sections, if the acceleration times / the total times are greater than or equal to 0.75, the road section is determined as an acceleration section, and others are deduced by analogy.
Owner:周明儒
Fire data analysis method, device, readable storage medium and terminal equipment
ActiveCN110162549BPracticalCharacter and pattern recognitionGeographical information databasesGeographic siteDimensionality reduction
Owner:ZDST COMM TECH CO LTD
A spatial clustering method based on gacuc and delaunay triangulation
ActiveCN104036024BGood non-spatial propertiesGood clustering results for non-spatial attributesRelational databasesSpecial data processing applicationsSpatial data miningData extraction
The invention discloses a spatial clustering method based on a GACUC (greedy agglomerate category utility clustering) and Delaunay triangulation network. Clustering is performed according to spatial attribution and non spatial attribution of spatial data, the maximum similarities of the non spatial attribution exist among spatial elements in each cluster, and the spatial accessibility of the spatial elements is provided. The non spatial attribution clustering is performed by the GACUC (), the non spatial attribution clustering of non numeric type attribute items can be supported, and the application range of the clustering method is expanded; meanwhile, spatial attribution clustering is performed on the basis of the Delaunay triangulation network, the inherent spatial data and non spatial attribution clustering of the spatial data can be implemented, and correspondence and distribution regularities among the spatial elements can be extracted more accurately. The method is simple to implement, automatic computer processing is adopted, data processing and analyzing time is saved, accuracy and availability of the clustering result are improved, and the method has a board application prospect in the field of spatial data extraction.
Owner:ZHEJIANG UNIV
A Drought Monitoring Method Based on Data Mining
The invention discloses a drought monitoring method based on data mining. The steps of the method are as follows: step 1, data reconstruction is performed on MODIS vegetation index products, surface temperature products, and evapotranspiration products; step 2, according to the vegetation index obtained in step 1 and DEM data, downscale TRMM precipitation products; step 3, extract vegetation anomaly index, temperature anomaly index, evapotranspiration anomaly index, precipitation anomaly index; step 4, construct statistical regression rules and linear fitting model with classification regression tree model to get Drought Monitoring Model. Compared with the prior art, the present invention comprehensively considers the multi-source remote sensing spatial information in drought monitoring, including precipitation, evapotranspiration, vegetation growth status, land use type, altitude and other factors, uses spatial data mining to build a drought monitoring model, and improves Accuracy of Drought Monitoring.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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